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patpatpatpatpat t1_itttamd wrote

Newbie here who just started with Azure ML, and I have a couple of questions that I hope the experienced folks here can shed some light on.

  • With the Azure ML Studio, the option to use automated ML experiment to automatically determine a model with the highest score seems to make this work much simpler than it really is. What is the downside of using this tool vs writing code directly in Python?
  • The drag and drop interface using Azure ML Designer is quite newbie friendly. With all the available components for use, what are some reasons professionals in this field of work choose not to utilize this?
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merouane_nz t1_iu3ioj4 wrote

- It takes a lot of time. (model selection x HPO x test/validation)

- The most important part of a data project is data preparation/feature engineering, modeling is somehow the simplest part.

- IMO it takes much longer to use a visual interface than scripting.

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